Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Pattern Recognition Using a New Transformation Distance
Advances in Neural Information Processing Systems 5, [NIPS Conference]
On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Object Recognition with Features Inspired by Visual Cortex
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
On the Euclidean Distance of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Object Recognition with Boosting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
A canonical neural circuit for cortical nonlinear operations
Neural Computation
Video Event Recognition Using Kernel Methods with Multilevel Temporal Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dim target detection and tracking based on empirical mode decomposition
Image Communication
Face recognition under occlusions and variant expressions with partial similarity
IEEE Transactions on Information Forensics and Security
Deterministic Column-Based Matrix Decomposition
IEEE Transactions on Knowledge and Data Engineering
Mathematics of the Neural Response
Foundations of Computational Mathematics
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Invariant Description and Retrieval of Planar Shapes Using Radon Composite Features
IEEE Transactions on Signal Processing - Part I
Learning Similarity With Multikernel Method
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Object-based image similarity computation using inductive learning of contour-segment relations
IEEE Transactions on Image Processing
Orthogonal Laplacianfaces for Face Recognition
IEEE Transactions on Image Processing
Modality Mixture Projections for Semantic Video Event Detection
IEEE Transactions on Circuits and Systems for Video Technology
Biologically Inspired Processing of Radar Waveforms for Enhanced Delay-Doppler Resolution
IEEE Transactions on Signal Processing
The combination of differential evolution and color attention for object recognition
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Hierarchical kernel-based rotation and scale invariant similarity
Pattern Recognition
| Hi-index | 0.01 |
Recently, derived kernel method which is a hierarchical learning method and leads to an effective similarity measure has been proposed by Smale. It can be used in a variety of application domains such as object recognition, text categorization and classification of genomic data. The templates involved in the construction of the derived kernel play an important role. To learn more effective similarity measure, a new template selection method is proposed in this paper. In this method, the redundancy is reduced and the label information of the training images is used. In this way, the proposed method can obtain compact template sets with better discrimination ability. Experiments on four standard databases show that the derived kernel based on the proposed method achieves high accuracy with low computational complexity.